Computational imaging in a multiplexed imager with static multispectral encoding

Johann Veras, Robert Muise, Kevin Hines, Abhijit Mahalanobis, Mark Neifeld

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We simulate and study various computational techniques for image reconstruction applied to a multiplexed Mid-wave-IR Imager. The imager consists of two arms where one is dedicated to high resolution imaging using a lower resolution Focal Plane Array and the other is a single measurement Multispectral imager which uses dispersive optics. We exploit the compressibility of images to estimate a high resolution image and its corresponding lower resolution multispectral data cube using standard computational techniques.

Original languageEnglish (US)
Title of host publicationCompressive Sensing IV
EditorsFauzia Ahmad
PublisherSPIE
ISBN (Electronic)9781628416008
DOIs
StatePublished - 2015
EventCompressive Sensing IV - Baltimore, United States
Duration: Apr 22 2015Apr 24 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9484

Other

OtherCompressive Sensing IV
Country/TerritoryUnited States
CityBaltimore
Period4/22/154/24/15

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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